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Estatísticas
An Empirical Approach to Understanding Data Science and Engineering Education
AuthID
P-00R-QSG
10
Author(s)
Raj, RK
·
Parrish, A
·
Impagliazzo, J
·
Romanowski, CJ
·
Aly, SG
·
Bennett, CC
·
Davis, KC
·
McGettrick, A
·
Pereira, TSM
·
Sundin, L
Tipo de Documento
Proceedings Paper
Year published
2019
Publicado
in
PROCEEDINGS OF THE WORKING GROUP REPORTS ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION (ITICSE-WGR '19),
ISSN: 1942-647X
Páginas: 73-87 (15)
Conference
24Th Acm Working Group Reports Annual Conference on Innovation and Technology in Computer Science Education (Iticse-Wgr),
Date:
JUL 15-17, 2019,
Location:
Aberdeen, SCOTLAND,
Patrocinadores:
Assoc Comp Machinery, ACM SIGCSE, GiHub Educ, Scottish Informat & Comp Sci Alliance, ACM, Europe Council, Informat Europe, Bloomberg Engn, Mendix, Springer, Univ Aberdeen, Aberdeen City Council
Indexing
Wos
®
Scopus
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Crossref
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3
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Metadata
Fontes
Publication Identifiers
DOI
:
10.1145/3344429.3372503
SCOPUS
: 2-s2.0-85079340997
Wos
: WOS:000571469200004
Source Identifiers
ISSN
: 1942-647X
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